Research of RBFNN-based Traffic Energy-Consumption Model

Energy saving and emission reduction are of great importance for the development of transportation. Therefore, researchers should conduct precise measurements on energy consumption caused by vehicles to support the applications of green navigation. In most cases, energy consumption are resulted by vehicles driving on the roads, of which are numerous and great mobility and hard to be directly collected and monitored through energy-consumption sensing devices. So a lot of scholars used a model of vehicles' energy consumption based on computer technology and established a historical database through analyzing historic data to support the measurements of energy consumption. On hand, previous studies on energy-consumption models would collect a large amount of samples despite of the accuracy of data. And on the other hand, different structures of different road conditions which may influence the generation of energy consumption and result in the secondary loss of accurate data were neglected as well. Aimed at the problems mentioned above, I would like to set forth and conduct a measurement of energy consumption based on computer technologies and combined with a real-time measurement of city roads of RBFNN, which would measure different road sections. The traffic network of Beijing city would be chose as an example to establish an energy-consumption model of transportation and to offer support for the government to monitor and assess a traffic management strategy which is oriented at saving energy and reducing emission, as well as offer technical support for the application of intelligent traffic system of energy saving and emission reduction.

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